The DOI matches its Crossref record; 28 of the 28 references it cites were found in a registry or an index.
Alarm effectiveness in driver-centred collision-warning systems
Abstract
The potential use of systems that seek to communicate a warning of impending collision directly to the driver is examined. Technological advances in collision-warning systems include reliable, low-cost radars, sensors with low noise levels, and the development of accurate detection algorithms for particular crash types, e.g. rear-end collisions. However, fundamental practical constraints make perfect sensor detection difficult to achieve. Imperfect detection conflates the false alarm rate and experience with other technologies confirms driver aversion to false warnings. Although sensitive alarm systems with high detection rates and low false alarm rates have been developed, the posterior probability of a collision given an alarm can be quite low because of the low base rate of collision events. As a result, only a small proportion of alarms will represent true collision scenarios. These and other factors can conspire to reduce alarm effectiveness in collision-warning systems. The problem is illustrated analytically and potential solutions are advanced.
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“To ensure alert reliability, the probability that an alarm reflects a true hazardous event must also be maximized to the extent possible: this can be examined by combining signal detection theory and Bayesian statistics [70].”
From A model for types and levels of human interaction with automation (2000) · cites this paper as [70]
Citations
Cites
Detection Theory: A User's Guide
Macmillan, N. A., & Creelman, C. D. (1991) · Cited by 5,415
The Theory of Risk Homeostasis: Implications for Safety and Health
Wilde, G. J. S. (1982) · Risk Analysis · doi:10.1111/j.1539-6924.1982.tb01384.x · Cited by 1,179
Automation and Human Performance
Bowers, C. A., Oser, R. L., Eduardo Salas, A., & Cannon‐Bowers, J. A. (2018) · Routledge eBooks · doi:10.1201/9781315137957 · Cited by 307
The basic driver error: late detection
Rumar, K. (1990) · Ergonomics · doi:10.1080/00140139008925332 · Cited by 266
Systems with Human Monitors: A Signal Detection Analysis
Sorkin, R. D., & Woods, D. D. (1985) · Human-Computer Interaction · doi:10.1207/s15327051hci0101_2 · Cited by 213
Green, R. (1989) · Displays · doi:10.1016/0141-9382(89)90119-4 · Cited by 204
Sorkin, R. D., Kantowitz, B. H., & Kantowitz, S. C. (1988) · Human Factors The Journal of the Human Factors and Ergonomics Society · doi:10.1177/001872088803000406 · Cited by 187
The science of choosing the right decision threshold in high-stakes diagnostics.
Swets, J. A. (1992) · American Psychologist · doi:10.1037//0003-066x.47.4.522 · Cited by 182
Modeling Strategic Behavior in Human-Automation Interaction: Why an "Aid" Can (and Should) Go Unused
Kirlik, A. (1993) · Human Factors: The Journal of the Human Factors and Ergonomics Society · doi:10.1177/001872089303500203 · Cited by 177
Parasuraman, R. (1987) · Human Factors: The Journal of the Human Factors and Ergonomics Society · doi:10.1177/001872088702900609 · Cited by 175
Self-citation
Research works printed but not linked: 8
- CASEY S., 1993, Set Phasers on Stun, 89
- CORCORAN D. W. J., 1972, Effects of computer reliability and ‘dependent’ versus ‘independent’ decisions, Journal of the Acoustical Society of America, 52, 1613
- HANOWSKI R. J., 1994, An information clearinghouse conceptual design: a system for meeting crash avoidance research needs relevant to older drivers. Final report
- JANSSEN W., 1994, Proceedings of the International Ergonomics Association, Vol. 4, Ergonomics and Design, 179
- KNIPLING R. R., 1993, Assessment of IVHS countermeasures for collision avoidance: rear-end crashes
- PARASURAMAN R., 1996, Automation and Human Performance: Theory and Applications
- SCHUMANN J., 1993, Vision in Vehicles IV, 321
- 10.1037/0003-066X.47.4.522 · DOI
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Chugh, J. S., & Caird, J. K. (1999) · Proceedings of the Human Factors and Ergonomics Society Annual Meeting · doi:10.1177/154193129904301803 · Cited by 17
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Warm, J. S., Finomore, V. S., Shaw, T. H., Funke, M. E., Hausen, M. J., Matthews, G., Taylor, P., Vidulich, M. A., Repperger, D. W., Szalma, J. L., et al. (2009) · Proceedings of the Human Factors and Ergonomics Society Annual Meeting · doi:10.1177/154193120905301705 · Cited by 14
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Zabyshny, A. A., & Ragland, D. R. (2003) · RePEc: Research Papers in Economics · Cited by 14
Bailey, J. M. (2015) · Ergonomics · doi:10.1080/00140139.2015.1021861 · Cited by 13
Zirk, A., Wiczorek, R., & Manzey, D. (2019) · Human Factors The Journal of the Human Factors and Ergonomics Society · doi:10.1177/0018720819852023 · Cited by 13
Tak, S., Yoon, J., Woo, S., & Yeo, H. (2020) · Journal of Advanced Transportation · doi:10.1155/2020/1528028 · Cited by 13
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Källhammer, J.-E., Smith, K. C. S., Karlsson, J. G., & Hollnagel, E. (2007) · International Driving Symposium on Human Factors in Driver Assessment, Training and Vehicle Design (Driving Assessment Conference) · doi:10.17077/drivingassessment.1207 · Cited by 12
Richard, C., Morgan, J. F., Bacon, L., Graving, J. S., Divekar, G., & Lichty, M. G. (2015) · ROSA P · Cited by 11
Ahlstrom, V., Longo, K., & Truitt, T. R. (2001) · Cited by 11
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Scerbo, M. W. (1998) · Proceedings of the Human Factors and Ergonomics Society Annual Meeting · doi:10.1177/154193129804202209 · Cited by 11
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Bazilinskyy, P., Larsson, P., Johansson, E., & de Winter, J. (2019) · Nippon Onkyo Gakkaishi/Acoustical science and technology/Nihon Onkyo Gakkaishi · doi:10.1250/ast.40.382 · Cited by 10
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McNabb, J. C. (2017) · Cited by 7
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Kidd, D. G., & Reagan, I. J. (2018) · Advances in intelligent systems and computing · doi:10.1007/978-3-319-93885-1_47 · Cited by 5
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Kim, S.-W., Bandyopadhyay, T., Qin, B., Chong, Z. J., Liu, W. E. I., Shen, X., Pendleton, S., Fu, J. G. M., Ang, M. H., Frazzoli, E., et al. (2015) · Mechanisms and machine science · doi:10.1007/978-3-319-14705-5_11 · Cited by 4
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Hancock, P. A. (2006) · CRC Press eBooks · doi:10.1201/9780849375477.ch391 · Cited by 2
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Squire, P., Barrow, J. H., Durkee, K. T., Smith, M. J., Moore, J. C., & Parasuraman, R. (2009) · Proceedings of the Human Factors and Ergonomics Society Annual Meeting · doi:10.1177/154193120905301833
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Kelling, N. (2006)
Demmel, S. (2015) · QUT ePrints (Queensland University of Technology)
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Duley, J. A., Galster, S. M., Parasuraman, R., & Smoker, A. J. (1999) · SAE technical papers on CD-ROM/SAE technical paper series · doi:10.4271/1999-01-5541
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Song, J., & Wolfe, B. A. (2026) · Cognitive Research Principles and Implications · doi:10.1186/s41235-026-00718-w
Metadata
- Authors
- PARASURAMAN, R., HANCOCK, P. A., & OLOFINBOBA, O.
- Affiliations
- Catholic University of America (US)
- Venue
- Ergonomics
- Publisher
- Informa UK Limited
- Published
- 1997-03
- Volume
- 40
- Issue
- 3
- Pages
- 390-399
- ISSN
- 0014-0139 (ISSN-L)
- 1366-5847
- OpenAlex
- W2119374926
- Cited by
- 205
- References
- 28
- Citations by year
- 2026: 4 · 2025: 3 · 2024: 4 · 2023: 3 · 2022: 3 · 2021: 9 · 2020: 8 · 2019: 8 · 2018: 7 · 2017: 5 · 2016: 11 · 2015: 13 · 2014: 13 · 2013: 7 · 2012: 7
- FWCI
- 9.25
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Ergonomics (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Social Sciences › Human Factors and Ergonomics › Human-Automation Interaction and Safety
- Physical Sciences › Engineering › Safety, Risk, Reliability and Quality › Traffic and Road Safety
- Physical Sciences › Engineering › Automotive Engineering › Autonomous Vehicle Technology and Safety
- Keywords
- collision warning systems, false alarm rate, driver distraction
- MeSH terms
- Accidents, Traffic, Algorithms, Decision Support Techniques, Equipment Design, Humans
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